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Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
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The Role of Information Technology in the Provision of Services
By: James I. Cash
James I. Cash, Jr. is exploring the role of information technology in service management. Specifically, he is studying the implications of the ubiquity of information technology at three levels in service-providing organizations. (In the United States today, service... View Details
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